Compensation Intelligence

Know what the market is paying before you make the offer

We run a specialist search desk, so we see live offer and joining data across financial services and fintech roles in India. This is what we have learned about reading compensation, published for you to use. Not broad salary surveys. Not two-year-old data. Current market reality.

See the salary benchmarks

Why generic benchmarking data fails you

The compensation benchmarking tools available to most HR teams are built for large enterprises and cover broad categories. A "technology professional in financial services" could mean a junior developer at a payments startup or a principal architect at a private bank. The ranges are too wide to be useful.

At the same time, the data is typically sourced from self-reported surveys submitted annually. By the time it is published and reaches you, it reflects a market that may have moved significantly.

We solve this differently. Our data comes from active placement activity, covering real offer letters, real negotiations, and real joining packages, across financial services and fintech roles in India. When we benchmark a compensation package, we are comparing it to what firms in your segment are actually offering and candidates are actually accepting, right now.

What we look at when we read a market

Role-specific salary bands

Compensation ranges for the exact roles you are filling, broken down by experience band, firm type, and geography. Includes fixed CTC, variable structure, and joining bonus norms.

Sourcing channel analysis

Where candidates for your target roles are actually coming from, which channels produce the strongest pipelines, and where firms in your segment are spending sourcing budget without adequate return.

Candidate availability outlook

An honest assessment of how deep the talent pool is for the roles you are hiring, and what timelines and processes are realistic given current market conditions.

Hiring market context

Broader trends affecting your hiring, including competitor hiring activity, talent movement patterns, and market signals that affect your ability to attract and retain talent.

When this is most useful

Setting compensation bands for a new team

Before opening the role, know what the market is paying so the first offer lands at the right level.

Reviewing whether salary structures are competitive

Audit your current bands against current offer data from your specific financial services segment.

A senior hire fell through at offer stage

Understand whether the offer was below market, the structure was wrong, or the competing offer was the actual reason.

Making a business case for a comp adjustment

Bring leadership current market data to support a structural decision, not a one-off retention exception.

Entering a new talent segment

A first hire from a category your firm has not recruited before benefits from a calibrated comp picture before the search begins.

Preparing for a board or investor conversation

Defend team-building costs and headcount plans with current market data rather than internal estimates.

Common questions

What is talent intelligence, in practical terms?

It is the research layer under a hiring decision: who holds this role across your peer set, what they are paid, where they came from, and how deep the realistic pool is. Clients use it before opening a search, during location decisions, and when a search has stalled and they want to know why.

How is this different from a salary survey?

A survey gives you averages across broad bands, often a year old. Talent intelligence is built for one question at a time, from live mapping of named organisations, so it reflects what the market looks like this quarter, not last year.

Where does the data come from?

Primary mapping of target organisations, our own mandate and offer data across financial services, and structured conversations with people in the market. We tell you the confidence level attached to each number rather than presenting everything as equally solid.

Can we commission talent intelligence without a search mandate?

Yes. It is a standalone service. A number of clients use it purely for workforce planning, location strategy or compensation decisions, with no search attached.

How do financial firms benchmark compensation in India?

Most start with a published survey, then discover it does not resolve the question they actually have. A survey tells you what a job family pays across a broad market; a hiring decision needs to know what your specific peer set pays for your specific scope in your specific city, this quarter. The practical method is to define the comparator set first, price against live offer and mandate data rather than self-reported ranges, separate fixed from variable and equity, and attach a confidence level to each number instead of presenting all of them as equally solid.

Why is compensation benchmarking important before a search starts?

Because a band set from the wrong reference point does not fail visibly. It fails as a search that runs for four months with no explanation, or an offer declined at the last stage, or a hire made at a number that quietly resets your internal parity. Pricing the role before you open it is cheaper than discovering the market's answer through a failed process.

How does this compare with a compensation benchmarking company or a salary survey platform?

Survey platforms are strong on breadth and weak on recency and specificity, which is the right trade for an annual reward cycle and the wrong one for a live hiring decision. We are the opposite: narrow scope, one question at a time, current data, named comparator organisations. Firms that run both use the survey for structure and a custom benchmark for the roles they are actually hiring. The full comparison is here.

What do you need from us to benchmark a role?

The role definitions you want priced, the comparator organisations you consider your peer set, the city or cities in scope, and your current band if one exists. Scope and fee are agreed before the work starts. All the ways to engage us are here.

Our thinking on this

Our pillar guide is the published trail of how we read compensation in this market.

Hiring in a market you want priced right?

Start with the salary benchmarks. When you are ready to run the search, tell us the roles and we will take it from there.

See the salary benchmarks

Founder-led engagements. 90%+ offer-to-join on closed mandates.

Brief us on a role